12 results on '"Chen, Jinyan"'
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2. Tracking Social Media to Understand Visitors' Travel Patterns: a Big Data Approach
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Chen, Jinyan
- Subjects
FOS: Economics and business ,big data analytics ,social media data ,visitors travel patterns ,Tourism - Abstract
Tourism involves the movement of people. Visitors move between destinations differently, which creates patterns and networks that link destinations within travel itineraries. These patterns contain valuable information that can be analysed for tourism product development, to improve marketing services and assist in infrastructure and transportation development decisions. Traditionally, research on visitors' travel patterns relied on data collected from interviews, surveys, or direct observation. Normally the size of this type of data is relatively small, and processing of data collection is costly as well as time consuming. The introduction of big data analytics within tourism research has seen a diversification within data sources, and social media has become a particularly valuable source. Social media generates vast volumes of data, which in addition to text, images, and video content contains additional information in the form of metadata, such as geo-location (where posts were made) and user origins. When combined with advances in big data analytics, this type of data opens an opportunity to model temporal and spatial travel patterns and especially understand the travel pattern drivers behind the travel patterns. Due to the flexibility of social media data collection, understanding visitors' travel patterns is not limited to one destination but can be expanded to the national or global scale. This thesis took advantage of the value of social media data and big data analytics, in five independent but interconnected chapters to report, and advance knowledge on visitors travel patterns. The thesis is partly comprised of papers with a compilation of five manuscripts in addition to an introduction, an overview of the methodology, and a conclusion chapter. Manuscript one consisted of a literature review that synthesises the relevant literature relating to social media, tourism, and travel patterns. In the review, key parameters were defined to describe and synthesise the emerging field of tracking visitor flows with social media data. The review discussed commonly used methods and technologies and makes recommendations for future research approaches. Manuscript two focused on data analytics and theory validation. It applied social network analysis and core-periphery theory using social media data to build the travel networks. The case study followed the travel of Chinese visitors between selected Australian destinations to examine travel structures. The Chinese social media platform Weibo was the data source. The results demonstrated that Chinese visitors in Australia mostly visit iconic Australian destinations first, before visiting destinations classified as semi-core or periphery. The findings indicated the suitability of applying core-periphery theory to social media data. It was also revealed that consideration should be given to the number of destinations within visitors' travel itineraries when analysing the core-periphery travel structures. The rationale for this focus was that the same destination may play a different role if the number of destinations is different. Manuscript three explored global tourist mobility from social media data and expanded the focus study to a global perspective. The case study investigated travel patterns of Chinese visitors before and after travel to Australia. This work addressed global tourist mobility and how Australia is positioned as an international travel destination. Results showed that Chinese visitors visited thirteen regions before or after their travel to Australia, and they appeared to travel directly from Australia to China, which indicated that Australia was the most prominent gateway country. The proposed method for identifying global travel patterns may be helpful to understand the impacts of the coronavirus pandemic and highlights that tracking mobility is important to understand the spread of diseases as well as opportunities for tourism recovery. Manuscript four proposed a method that identified Chinese travel sentiment in Chinese language. The method was tested using data from Weibo, and a case that focused on Weibo users’ posts related to visiting the Great Barrier Reef (GBR) was conducted. The manuscript detailed the process of capturing the Weibo posts describing the creation of lexicon and presented an algorithm for sentiment calculation. By investigating the sentiment towards different GBR destinations, it was demonstrated that the proposed method was effective in obtaining insights and may be suitable to monitor visitor opinions. Manuscript five introduced a new methodology that conducted importance-performance analysis (IPA) to understand visitor satisfaction with travel patterns. The new method indirectly measured performance and importance values from publicly available social media data (Weibo). A lexicon-based method for sentiment analysis was applied to identify performance value. Importance was calculated as the adjusted association rule mining algorithm Support, which assessed the frequency of posts at each destination. The results indicated that the proposed methodology offers an opportunity to conduct IPA indirectly from social media data with larger sample sizes, but at a lower cost with flexible data collection. The research used Chinese visitors to Australia as a case study, but the proposed approach could benefit a range of decision-makers directly or indirectly related to tourism.
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- 2021
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3. Vitamin D and cause-specific vascular disease and mortality: a Mendelian randomisation study involving 99,012 Chinese and 106,911 European adults
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Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe
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Adult ,medicine.medical_specialty ,lcsh:Medicine ,Disease ,Lower risk ,Gastroenterology ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Causal effect ,Vitamin D and neurology ,Humans ,Medicine ,Vascular Diseases ,030212 general & internal medicine ,Myocardial infarction ,Vitamin D ,Mendelian randomisation ,Stroke ,business.industry ,Vascular disease ,Confounding ,lcsh:R ,General Medicine ,Vitamin D Deficiency ,medicine.disease ,Lipids ,3. Good health ,Cardiovascular diseases ,Population study ,Gene-Environment Interaction ,business ,030217 neurology & neurosurgery ,Research Article - Abstract
Background Randomised control trials and genetic analyses have demonstrated that vitamin D or 25-hydroxyvitamin D (25[OH]D) levels may not play a causal role in the development of cardiovascular disease. However, it is unclear if 25(OH)D is causally associated with cause-specific vascular disease and lipids. Therefore, we examined the causal association of 25(OH)D with myocardial infarction, stroke, ischaemic heart disease, ischaemic stroke, subarachnoid haemorrhage, intracerebral haemorrhage, and lipid levels among both Chinese and Europeans. Methods We used a Mendelian randomisation (MR) design in the China Kadoorie Biobank, the Copenhagen City Heart Study, and the Copenhagen General Population Study. The 25(OH)D-related genetic variants in the CYP2R1 and DCHR7 genes were genotyped in 99,012 Chinese adults and 106,911 Danish adults. Results In Chinese adults, plasma 25(OH)D levels were not significantly associated with cause-specific vascular disease or mortality, with the exception of intracerebral haemorrhage (HR, 1.09 [95% CI, 1.01,1.18] per 25 nmol/L higher plasma 25(OH)D). In Europeans, plasma 25(OH)D levels were inversely associated with all types of vascular diseases and mortality. However, MR analysis did not demonstrate causal associations of genetically increased 25(OH)D levels with cause-specific vascular diseases, or mortality in both Chinese and European adults. In addition, each 25 nmol/L higher 25(OH)D was observationally associated with lower total cholesterol and low-density lipoprotein cholesterol levels, but higher high-density lipoprotein cholesterol levels. Likewise, MR analysis showed that 25(OH)D levels were not causally associated with lipids in both Chinese and European adults after Bonferroni correction. Conclusions We found no evidence to support that genetically increased 25(OH)D was associated with a lower risk of ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and lipid levels in both Chinese and European adults. These results suggest that the inverse associations of vitamin D with vascular disease could be the result of confounding. Electronic supplementary material The online version of this article (10.1186/s12916-019-1401-y) contains supplementary material, which is available to authorized users.
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- 2019
4. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
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Bakker, Mark K., van der Spek, Rick A.A., van Rheenen, Wouter, Morel, Sandrine, Bourcier, Romain, Hostettler, Isabel C., Alg, Varinder S., van Eijk, Kristel R., Koido, Masaru, Akiyama, Masato, Terao, Chikashi, Matsuda, Koichi, Walters, Robin G., Lin, Kuang, Li, Liming, Millwood, Iona Y., Chen, Zhengming, Rouleau, Guy A., Zhou, Sirui, Rannikmäe, Kristiina, Sudlow, Cathie L.M., Houlden, Henry, van den Berg, Leonard H., Dina, Christian, Naggara, Olivier, Gentric, Jean-Christophe, Shotar, Eimad, Eugène, François, Desal, Hubert, Winsvold, Bendik S., Børte, Sigrid, Johnsen, Marianne Bakke, Brumpton, Ben M., Sandvei, Marie Søfteland, Willer, Cristen J., Hveem, Kristian, Zwart, John-Anker, Verschuren, W. M. Monique, Friedrich, Christoph M., Hirsch, Sven, Schilling, Sabine, Dauvillier, Jérôme, Martin, Olivier, Martinsen, Amy E, Aamodt, Anne Hege, Skogholt, Anne Heidi, Sandset, Else Charlotte, Kristoffersen, Espen S, Ellekjaer, Hanne, Heuch, Ingrid, Nielsen, Jonas Bille, Hagen, Knut, Fritsche, Lars, Thomas, Laurent F., Pedersen, Linda, Gabrielsen, Maiken E, Vigeland, Maria Dehli, Holmen, Oddgeir, Zhou, Wei, Chen, Junshi, Chen (PI), Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li (PI), Liming, Liu, Depei, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gan, Wei, Gilbert, Simon, Hacker, Alex, Hill, Michael, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Lancaster, Garry, Lewington, Sarah, McDonnell, John, Millwood, Iona, Nie, Qunhua, Ryder, Paul, Sansome, Sam, Schmidt-Valle, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Bian, Zheng, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zou, Mingyuan, Yan, Shichun, Zhou, Xue, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Hua, Yujie, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Wang, Ping, Meng, Fanwen, Qin Sisi Wang, Yulu, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhou, Ding Zhang, Zhou, Gang, Feng, Shixian, Chang, Ling, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Zhang, Xukui, Wu, Huifang, Yu, Min, Hu, Ruying, Wang, Hao, Gong, Weiwei, Wang, Meng, Xie, Kaixu, Chen, Lingli, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Zhang, Libo, Nagai, Akiko, Muto, Kaori, Hirata, Makoto, Morisaki, Takayuki, Yamashita, Yasushi, Kamatani, Yoichiro, Kambara, Yoko, Murakami, Yoshinori, Masumoto, Akihide, Nagayama, Satoshi, Miki, Yoshio, Yoshimori, Kozo, Fujioka, Tomoaki, Takata, Ryo, Yamaji, Ken, Takahashi, Kazuhisa, Asai, Satoshi, Takahashi, Yasuo, Minami, Shiro, Yamaguchi, Hiroki, Koretsune, Yukihiro, Nishizawa, Yasuko, Kodama, Ken, Kutsumi, Hiromu, Suzuki, Takao, Sinozaki, Nobuaki, Murayama, Shigeo, Furukawa, Yoichi, Yamanashi, Yuji, Papagiannaki, Chrisanthi, Piotin, Michel, Trystram, Denis, Edjlali-Goujon, Myriam, Boulouis, Grégoire, Rodriguez, Christine, Hassen, Waghi Ben, Saleme, Suzanna, Mounayer, Charbel, Rouchaud, Aymeric, Levrier, Olivier, Aguettaz, Pierre, Combaz, Xavier, Pasco, Anne, l’Allinec, Vincent, Bintner, Marc, Molho, Marc, Pascale, Gauthier, Chivot, Cyril, Costalat, Vincent, Darganzil, Cyril, Bonafé, Alain, Januel, Anne Christine, Michelozzi, Caterina, Cognard, Christophe, Bonneville, Fabrice, Tall, Philippe, Darcourt, Jean, Biondi, Alessandra, Iosif, Cristina, Ferre, Jean Christophe, Gauvrit, Jean Yves, Eugene, François, Raoult, Hélène, Gentric, Jean Christophe, Ognard, Julien, Anxionnat, René, Gory, Benjamin, Bracard, Serge, Derelle, Anne Laure, Tonnelet, Romain, Spelle, Laurent, Ikka, Léon, Ozanne, Augustin, Gallas, Sophie, Caroff, Jildaz, Achour, Nidal Ben, Moret, Jacques, Chabert, Emmanuel, Berge, Jérôme, Marnat, Gaultier, Barreau, Xavier, Gariel, Florent, Clarencon, Frédéric, Aggour, Mohammed, Ricolfi, Frédéric, Chavent, Adrien, Thouant, Pierre, Lebidinsky, Pablo, Lemogne, Brivael, Herbreteau, Denis, Bibi, Richard, Janot, Kevin, Pierot, Laurent, Soize, Sébastien, Labeyrie, Marc Antoine, Vandendries, Christophe, Kazemi, Appoline, Leclerc, Xavier, Pruvo, Jean Pierre, Bricout, Nicolas, Velasco, Stéphane, Boucebci, Samy, Lemmens, Robin, Pandolfo, Massimo, Bodenant, Marie, Louillet, Fabien, Mas, Jean-Louis, Deltour, Sandrine, Leder, Sara, Léger, Anne, Canaple, Sandrine, Godefroy, Olivier, Giroud, Maurice, Jacquin, Agnès, Moulin, Thierry, Vuillier, Fabrice, Tzourio, Christophe, Santos, Michael Dos, Malik, Rainer, Hausser, Ingrid, Thomas-Feles, Constanze, Weber, Ralf, Grond-Ginsbach, Caspar, Hacke, Werner, Giossi, Alessia, Volonghi, Irene, Costa, Paolo, del Zotto, Elisabetta, Morotti, Andrea, Poli, Loris, Muiesan, Maria Lorenza, Salvetti, Massimo, Rosei, Enrico Agabiti, Lanfranconi, Silvia, Baron, Pierluigi, Ferrarese, Carlo, Susani, Emanuela, Giacalone, Giacomo, Paolucci, Stefano, Palmirotta, Raffaele, Guadagni, Fiorella, Paciaroni, Maurizio, Ballabio, Elena, Parati, Eugenio A., Fluri, Felix, Hatz, Florian, Gisler, Dominique, Amort, Margareth, Bevan, Steve, James, Tom, Olsson, Sandra, Holmegaard, Lukas, Altintas, Ayse, Martin, Juan José, Kittner, Steven, Mitchell, Braxton, Stine, Colin, O’Connell, Jeff, Dueker, Nicole, Koudstaal, Peter J., de Lau, Lonneke M.L., Hofman, Albert, Verhaaren, Benjamin F, Uitterlinden, Andre G, Montaner, Joan, Mendioroz, Maite, Yadav, Sunaina, Khan, Muhammad Saleem, Wilder, Michael, van Dijk, Ewoud, Maaijwee, Noortje, Rutten-Jacobs, Loes, Kramer, Jamie, Malik, Shaneela, Brott, Thomas G, Brown, Robert D, Singleton, Andrew, Hardy, John, Rich, Stephen S, Tanislav, Christian, Jungehülsing, Jan, Werring, David, Alg, Varinder, Hostettler, Isabel, Bonner, Stephen, Walsh, Daniel, Bulters, Diederik, Kitchen, Neil, Brown, Martin, Grieve, Joan, Roberts, Gareth, Jones, Timothy, Critchley, Giles, Sharma, Pankaj, Nelson, Richard, Whitfield, Peter, Ross, Stuart, Patel, Hiren, Eldridge, Paul, Saastamoinen, Kari, Patel, Umang, Lawrance, Enas, Vandabona, Subha, Mendelow, David, Teal, Rachel, Warner, Orlando, Kirkpatrick, Peter, Seshadri, Sudha, Kilarski, Laura, Hyacinth, Hyacinth I, Oliveira, Jamary, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Norrving, Bo, Smith, Gustav, Rosand, Jonathan, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Bang, Oh Young, Chung, Jong-Won, Kim, Gyeong-Moon, Zhuang, Qishuai, Sheu, Wayne, Smalley, June, Howson, Joanna, Granata, Alessandra, Markus, Hugh, Wardlaw, Joanna, Cole, John, Thalamuthu, Anbupalam, Hopewell, Jemma, Worrall, Bradford, Bis, Josh, Tirschwell, David, Reiner, Alex, Dhar, Raj, Lee, Jin-Moo, Mortenson, Janne, Wassertheil-Smoller, Sylvia, Prasad, Kameshwar, Fisher, Mark, Traenka, Christopher, Wang, Xingwu, Wang, Yongjun, Rouanet, Francois, Sibon, Igor, Sarnowski, Chloé, Maillard, Pauline, Aparicio, Hugo Javier, Dupuis, Josee, Yang, Qiong, Luvizutto, Gustavo, Chasman, Daniel, Rexrode, Kathryn, Harriot, Andrea, Phuah, Chia-Ling, Santo, Gustavo, Gerard, Jen, Liu, Guiyou, Aaron, Sanjith, Christudass, Christhunesa S., Salomi, BSB, Sanghera, Dharambir, Boehme, Amelia, Elkind, Mitchell, Gretarsdottir, Solveig, Lange, Leslie, Rost, Natalia, James, Michael, Stewart, Jill, Goldstein, Larry, Waddy, Salina, Vojinovic, Dina, Ikram, Arfan, Thijs, Vincent, Parati, Eugenio, Boncoraglio, Giorgio, Kooperberg, Charles, Abboud, Sherrine, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Happola, Olli, Strbian, Daniel, Tomppo, Liisa, Pathak, Abhishek, Pfeiffer, Dorothea, Aires, de Buenos, de Carvalho, Joao Jose Freitas, Ribeiro, Priscila, Torres, Nuria, Barboza, Miguel, Plomaritoglou, Androniki, Bjorkegren, Johan, Chan, Yu-Feng Yvonne, Gudnason, Villi, Jimenez-Conde, Jordi, Soriano, Carolina, Roquer, Jaume, Bentley, Paul, Tournier-Lasserve, Elisabeth, Dufouil, Carole, Debette, Stephanie, Mishra, Aniket, Wee, Lawrence, Siddiqi, Saima, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Jood, Katarina, Tatlisumak, Turgut, Arauz, Antonio, Korostynski, Michal, Launer, Lenore, Yue, Suo, bersano, anna, Juchniewicz, Karol Józef, Mateusz, Adamski, Pera, Joanna, Wnuk, Marcin, Levi, Christopher, Gusdon, Aaron, Kostulas, Konstantinos, Maxwell, Jessye, Duering, Marco, Jagiella, Jeremiasz, Hata, Jun, Ninomiya, Toshiharu, Nguyen, Vinh, Thorarinsson, Bjorn Logi, Lee, Tsong-Hai, Rakitko, Alexandr, Dichgans, Martin, Lindgren, Arne, Wasselius, Johan, Drake, Mattias, Stenman, Martin, Ilinca, Andreea, Staals, Julie, Sadr-Nabavi, Ariane, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Ay, Hakan, Wu, Ona, Schirmer, Markus, Romero, Javier, Cramer, Steve, Golland, Polina, Mueller, Bertram, Brown, Robert, Meschia, James, Ross, Owen A., Pare, Guillaume, Chong, Mike, mansour, Ossama yassin, Karaszewski, Bartosz, Enzinger, Christian, Schmidt, Reinhold, Seiler, Stephan, Pichler, Alexander, Ovbiagele, Bruce, Yamada, Yoshiji, Rundek, Tatjana, Blanton, Susan, P, John, Chern, Joseph, O'Donnell, Chris, Corriveau, Roderick, Bhattacharya, Pallab, Gwinn, Katrina, CHANDRA, BHARATENDU, Chen, Christopher, Kalaria, Raj, Koenig, Jim, Singh, Om Prakash, Olugbodi, Akintomi, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Olesen, Jes, Kubo, Michiaki, Spence, David, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Braga, Gabriel, Xu, Huichun, Assimes, Tim, Raskurazhev, Anton, Lee, Wei Ling, Burri, Philippe, Frid, Petrea, GmbH, Heilbronn, Deng, Zhen, Habibi-koolaee, Mahdi, Vijayan, Murali, Leung, Thomas, Wong, Lawrence, Mok, Vincent, Choy, Richard, Jern, Christina, Lebedeva, Elena, Farrall, Martin, Jiayuan, Xu, Loo, Keat Wei, Rinkel, Gabriel, Magnus, Rudolf, Goncalves, Anderson, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Kim, Helen, Rolfs, Arndt, Owolabi, Mayowa, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, Pulit, Sara L., Algra, Ale, van der Laan, Sander W., Macleod, Mary, Howard, George, Tiwari, Hemant, Irvin, Ryan, Albright, Karen C., Perry, Rodney, Kidwell, Chelsea, Pavlovic, Aleksandra, Sargurupremraj, Murali, Schilling, Sabrina, Pezzini, Alessandro, Abd-Allah, Foad, DeCarli, Charles, Liebeskind, David, Traylor, Matthew, Tan, Rhea, Danesh, John, Larsson, Susanna C., Rutten, Loes, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Woo, Daniel, Kissela, Brett, Ibenez, Laura Garcia, Salman, Rustam, Sudlow, Cathie, McDonough, Caitrin Wheeler, Silliman, Scott, Magvanjav, Oyunbileg, van Agtmael, Tom, Walters, Matthew, Lorentzen, Erik, Stanne, Tara, Olsson, Martina, Nakagawa, Kazuma, Akinyemi, Rufus, Cotlatciuc, Ioana, O'Connell, Jeff, Sparks, Mary, Sorkin, John, Dave, Tushar, Naylor, Jill, Brown, Devin, Du, Rose, Kulik, Tobias B., Attia, John, Faber, James E, Rothwell, Peter, Márquez, Elsa Valdés, Mancuso, Michelangelo, Souza, Doralina Brum, de Silva, Ranil, Vibo, Riina, Korv, Janika, Maguire, Jane, Fornage, Myriam, Illoh, Kachikwu, Milewicz, Dianna, Majersik, Jennifer, DeHavenon, Adam, Kalani, Yashar, Alexander, Matthew, Cushman, Mary, Sale, Michele, Owens, Debra, Keene, Keith, Rich, Stephe, Psaty, Bruce, Longstreth, Will, Atadzhanov, Masharip, Wolfe, Stacey Quintero, Langefeld, Carl, Bushnell, Cheryl, Cruchaga, Carlos, Konrad, Jan, Liu, Junfeng, Sheth, Kevin, Falcone, Guido, Donahue J, Kathleen, Jones, Gregory T., Bown, Matthew J., Ko, Nerissa U., Coleman, Jonathan R.I., Breen, Gerome, Zaroff, Jonathan G., Klijn, Catharina J.M., Sargurupremraj, Muralidharan, Amouyel, Philippe, Debette, Stéphanie, Rinkel, Gabriel J.E., Worrall, Bradford B., Slowik, Agnieszka, Gaál-Paavola, Emilia I., Niemelä, Mika, Jääskeläinen, Juha E., von Und Zu Fraunberg, Mikael, Lindgren, Antti, Broderick, Joseph P., Werring, David J., Redon, Richard, Veldink, Jan H., Ruigrok, Ynte M., Stroke, HUNT All-In, Group, China Kadoorie Biobank Collaborative, Consortium, BioBank Japan Project, Group, ICAN Study, Group, CADISP, investigators, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study, (ISGC), International Stroke Genetics Consortium, Morel, Sandrine, and Bijlenga, Philippe Alexandre Pierre
- Subjects
genetics [Blood Pressure] ,Medizin ,Genome-wide association study ,Blood Pressure ,Disease ,ddc:616.07 ,Bioinformatics ,616: Innere Medizin und Krankheiten ,0302 clinical medicine ,Risk Factors ,physiopathology [Hypertension] ,genetics [Genetic Predisposition to Disease] ,Genetic risk factor ,Stroke ,0303 health sciences ,Smoking ,genetics [Smoking] ,genetics [Intracranial Aneurysm] ,Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] ,Cerebrovascular disorder ,3. Good health ,genetics [European Continental Ancestry Group] ,Hypertension ,genetics [Polymorphism, Single Nucleotide] ,Subarachnoid hemorrhage ,pathology [Intracranial Aneurysm] ,genetics [White People] ,Biology ,Genetic correlation ,pathology [Endothelial Cells] ,Polymorphism, Single Nucleotide ,Article ,White People ,03 medical and health sciences ,Aneurysm ,Asian People ,ddc:570 ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,cardiovascular diseases ,030304 developmental biology ,genetics [Subarachnoid Hemorrhage] ,genetics [Asian Continental Ancestry Group] ,572: Biochemie ,genetics [Asian People] ,pathology [Subarachnoid Hemorrhage] ,adverse effects [Smoking] ,Endothelial Cells ,Subarachnoid Hemorrhage ,medicine.disease ,Intracranial aneurysm ,Genetic architecture ,ddc:616.8 ,Case-Control Studies ,genetics [Hypertension] ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
An author correction to this article published in December 2020 is available at https://doi.org/10.1038/s41588-020-00760-4. Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.
- Published
- 2021
5. Inverse size effects in un-notched and notched metallic glass thin films
- Author
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Chen Chao, Chen Jinyan, and Shi Mingyou
- Subjects
Amorphous metal ,Materials science ,Inverse ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials ,Shear (sheet metal) ,Materials Chemistry ,Ceramics and Composites ,Fracture (geology) ,Composite material ,Thin film ,Deformation (engineering) ,Failure mode and effects analysis ,Shear band - Abstract
The sample size effect on the deformation behaviors of metallic glasses (MGs) attracts a lot of interest. Here, a series of molecular dynamics simulations have been performed on un-notched and notched MG thin films to fully investigate the influence of sample thickness on their fracture strengths and failure mechanisms. With decreasing sample thickness, the failure strength of un-notched MG thin films decreases slightly and the failure mode changes from shear banding to homogeneous deformation. In contrast to this brittle-to-ductile transition observed in un-notched MG thin films, shear banding prevails for notched MG thin films regardless of sample thickness. Concurrently, a notch strengthening effect is observed in the notched MG thin films when the sample thickness falls close to the shear band (SB) thickness. This significant notch strengthening is due to the failure mode transition from homogeneous deformation in un-notched MGs to shear banding in notched MGs. Based on the energetic model, a theoretical analysis is proposed to rationalize the size effect on failure mechanism transitions of both un-notched and notched MG thin films. The present study offers an understanding of size effect on the un-notched and notched MG thin films, as well as useful guidelines for the design, testing, and engineering of MG for microelectromechanical applications.
- Published
- 2022
6. Build the expressway for the salt-tolerant anammox process: Acclimation strategy tells the story
- Author
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Jin-Jin Fu, Wu Qingyuan, Bao-Cheng Huang, Chen Jinyan, Ren-Cun Jin, Nian-Si Fan, and Quan Zhang
- Subjects
biology ,Renewable Energy, Sustainability and the Environment ,Chemistry ,020209 energy ,Strategy and Management ,05 social sciences ,02 engineering and technology ,biology.organism_classification ,Acclimatization ,Industrial and Manufacturing Engineering ,Enzyme assay ,Salinity ,Wastewater ,Microbial population biology ,Anammox ,Environmental chemistry ,050501 criminology ,0202 electrical engineering, electronic engineering, information engineering ,biology.protein ,Bioreactor ,Bacteria ,0505 law ,General Environmental Science - Abstract
The wide existence of saline wastewater has attracted public attention due to its environmental destructiveness. The potential of anammox to treat saline wastewater was systematically evaluated in this study. Three bioreactors with different salinity increasing strategies (R1: inhibition kinetic; R2: gradient increasing; R3: pulsed increasing) were operated to identify the optimal acclimation mode. The results showed that the inhibition of anammox activity by salinity was mainly caused by the loss of enzyme activity. Under the condition of 25.0 g NaCl L−1, the highest nitrogen removal rate of R3 (2.36 ± 0.14 kg N m−3 d−1) indicated that the pulsed strategy might be optimal. Changes in microbial community might be the primary reason lead to different acclimatization results. The relative abundance of anammox bacteria increased by 37.19% in R1 and by 46.81% in R3, but remained stable in R2 with increasing salinity. Dynamic varations in bacterial interactions, proteins, and functional genes revealed the potential resistance mechanisms of bacteria to salinity. The present work provides a novel approach and guidance for the treatment of nitrogen-rich saline wastewater by the anammox process.
- Published
- 2021
7. Language Strategies of Japanese English Learners in English as a Foreign Language (EFL) Parliamentary Debate: A Case Study of a National Debate Tournament
- Author
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Chen, Jinyan
- Subjects
parliamentary debate ,Japanese EFL learner ,rhetorical situation ,language strategy - Abstract
Decades of research on communication strategies of English learner has offered a full picture of the field. However, previous studies are generally concerned with either daily or classroom conversation whereas little has been known concerning the language strategies in academic debate with non-native speakers of English being the debaters. Given the debater's dual identities as language learners as well, strategies utilized in debate may be influenced by a wider scope of elements that are peculiar to the situation. Centering on language-related strategies used by Japanese EFL debaters, this study made use of discourse analysis of a national parliamentary debate tournament. Combining rhetorical situation theory, the results suggest that the debaters adopted strategies including audience-oriented strategies and speech-structuring strategies that are considered unique to debate for the purpose of better conveyance of information. This indicates the debaters' awareness of a differing rhetorical situation which calls for different language-related strategies from daily conversation. Additionally, the following strategies are frequently used by debaters in the current study: fillers, code-switching, similar-sounding words, Japanese-made English, and paraphrase.
- Published
- 2020
8. Identification of PA28β as a potential novel biomarker in human esophageal squamous cell carcinoma
- Author
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Li Xu, Junyong Han, Kun-Shou Zhu, Wei-Min Fang, Kun Wang, and Chen Jinyan
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0301 basic medicine ,Adult ,Male ,Proteomics ,Proteasome Endopeptidase Complex ,Esophageal Neoplasms ,Cell ,Biology ,Malignancy ,03 medical and health sciences ,0302 clinical medicine ,Cell Line, Tumor ,medicine ,Biomarkers, Tumor ,Humans ,RC254-282 ,Aged ,Cell Proliferation ,Activator (genetics) ,Cell growth ,Cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,General Medicine ,Transfection ,Middle Aged ,medicine.disease ,Neoplasm Proteins ,Blot ,Gene Expression Regulation, Neoplastic ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Cancer research ,Carcinoma, Squamous Cell ,Immunohistochemistry ,Female ,Esophageal Squamous Cell Carcinoma - Abstract
Esophageal squamous cell carcinoma (ESCC) is one of the most common and serious malignancies in China. However, the exact mechanisms of tumor formation and progression are unclear. As late diagnosis and poor therapeutic efficacy result in lower survival rates, identifying biomarkers for early detection, prognostic evaluation, and recurrence monitoring of ESCC is necessary. Here we analyzed 10 protein expression profiles of ESCC core tissues and paired normal esophageal epithelial tissues using two-dimensional gel electrophoresis. We excised 29 protein spots with two-fold or greater differential expression between cancer and normal tissues and identified them using matrix-assisted laser desorption/ionization-time-of-flight/time-of-flight mass spectrometry. The role of PA28β in ESCC cell was confirmed using cell growth, colony formation and soft agar in TE-1 cells pre- and post- PA28β transfection. Compared to their expression in the adjacent normal epithelia, 12 proteins, including transgelin (TAGLN), were upregulated in ESCC tissues; 17 proteins, including proteasome activator 28-beta subunit (PA28β), were downregulated (p < 0.05). Western blotting and immunohistochemistry confirmed that PA28β was significantly underexpressed in ESCC tissues. The functional assays demonstrate that PA28β inhibited cell growth, proliferation and malignancy of TE-1 cells. Among the differentially expressed proteins, PA28β is a potential tumor inhibitor.
- Published
- 2017
9. Breastfeeding and the Risk of Maternal Cardiovascular Disease: A Prospective Study of 300 000 Chinese Women
- Author
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Peters, Sanne A. E., Yang, Ling, Guo, Yu, Chen, Yiping, Bian, Zheng, Du, Jianwei, Yang, Jie, Li, Shanpeng, Li, Liming, Woodward, Mark, Chen, Zhengming, Chen, Junshi, Collins, Rory, Peto, Richard, Bennett, Derrick, Chang, Yumei, Clarke, Robert, Du, Huaidong, Fan, Xuejuan, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Rafiq, Sajjad, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Turnbull, Iain, Walters, Robin, Wang, Jenny, Wang, Lin, Yang, Xiaoming, Chen, Ge, Han, Bingyang, Hou, Can, Lv, Jun, Pei, Pei, Qu, Shuzhen, Tan, Yunlong, Yu, Canqing, Zhou, Huiyan, Pang, Zengchang, Gao, Ruqin, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Lv, Silu, Wang, Junzheng, Hou, Wei, Yin, Jiyuan, Jiang, Ge, Liu, Shumei, Pang, Zhigang, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Mu, Huaiyi, Xu, Qinai, Dou, Meiling, Ren, Jiaojiao, Wang, Shanqing, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Dong, Hua, Weng, Min, Zheng, Xiangyang, Li, Yijun, Li, Huimei, Li, Chenglong, Wu, Ming, Zhou, Jinyi, Tao, Ran, Shen, Jie, Hu, Yihe, Lu, Yan, Gao, Yan, Ma, Liangcai, Zhou, Renxian, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Qing, Jingxin, Zhang, Weiyuan, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Yang, Jun, Guan, Hairong, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Tang, Xuefeng, Luo, Guojin, Li, Jianguo, Wang, Jian, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Liu, Guohua, Zhu, Baoyu, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Jiang, Li, Sun, Huarong, He, Pan, Hu, Chen, Lv, Qiannan, Zhang, Xukui, Yu, Min, Hu, Ruying, Fang, Le, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixue, Chen, Lingli, Pan, Yaxing, Pan, Dongxia, Huang, Yuelong, Chen, Biyun, Jin, Donghui, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, g, Youping, Jia, Weifang, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe
- Subjects
Adult ,medicine.medical_specialty ,Pediatrics ,China ,Time Factors ,Epidemiology ,breastfeeding ,Breastfeeding ,Lower risk ,Risk Assessment ,03 medical and health sciences ,0302 clinical medicine ,Sex Factors ,cardiovascular disease ,Risk Factors ,medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Risk factor ,Prospective cohort study ,Stroke ,Original Research ,Aged ,Proportional Hazards Models ,030219 obstetrics & reproductive medicine ,business.industry ,Proportional hazards model ,Incidence ,Hazard ratio ,Age Factors ,Middle Aged ,Protective Factors ,medicine.disease ,Prognosis ,3. Good health ,Breast Feeding ,risk factor ,Cardiovascular Diseases ,Female ,women ,Cardiology and Cardiovascular Medicine ,business - Abstract
Background Breastfeeding confers substantial benefits to child health and has also been associated with lower risk of maternal cardiovascular diseases ( CVDs ) in later life. However, the evidence on the effects of CVD is still inconsistent, especially in East Asians, in whom the frequency and duration of breastfeeding significantly differ from those in the West. Methods and Results In 2004–2008, the nationwide China Kadoorie Biobank recruited 0.5 million individuals aged 30 to 79 years from 10 diverse regions across China. During 8 years of follow‐up, 16 671 incident cases of coronary heart disease and 23 983 cases of stroke were recorded among 289 573 women without prior CVD at baseline. Cox regression yielded adjusted hazard ratios ( HR s) and 95% CIs for incident CVD by breastfeeding. Overall, ≈99% of women had given birth, among whom 97% reported a history of breastfeeding, with a median duration of 12 months per child. Compared with parous women who had never breastfed, ever breastfeeding was associated with a significantly lower risk of CVD , with adjusted HR s of 0.91 (95% CI, 0.84–0.99) for coronary heart disease and 0.92 (95% CI, 0.85–0.99) for stroke. Women who had breastfed for ≥24 months had an 18% ( HR, 0.82; 0.77–0.87) lower risk of coronary heart disease and a 17% ( HR, 0.83; 0.79–0.87) lower risk of stroke compared with women who had never breastfed. Among women who ever breastfed, each additional 6 months of breastfeeding per child was associated with an adjusted HR of 0.96 (95% CI, 0.94–0.98) for coronary heart disease and 0.97 (95% CI, 0.96–0.98) for stroke. Conclusions Among Chinese women, a history of breastfeeding was associated with an ≈10% lower risk of CVD in later life and the magnitude of the inverse association was stronger among those with a longer duration of breastfeeding.
- Published
- 2017
10. The political 'we', the academic 'we', and the academic debate 'we' : A review of the construction of the plural self in argumentative discourse
- Author
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Chen, Jinyan
- Subjects
人称代名詞 ,Personal pronoun ,We ,ディベート ,Debate ,我々 - Published
- 2017
11. Cell membrane polarity in rat ascites hepatoma cells. Distribution of a cell surface-associated adhesive factor on the cell surfaces
- Author
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Chen Jinyan, Hideo Hayashi, Ryuichi Hattori, and Yasuji Ishimaru
- Subjects
Male ,Histology ,Cell ,Cell Separation ,Biology ,Cell junction ,Pathology and Forensic Medicine ,Cell membrane ,Liver Neoplasms, Experimental ,In vivo ,medicine ,Cell Adhesion ,Animals ,Binding site ,Cell adhesion ,Glycoproteins ,Binding Sites ,Membrane Glycoproteins ,Cell Membrane ,Membrane Proteins ,Cell Biology ,Cell biology ,Rats ,Membrane glycoproteins ,Microscopy, Electron ,medicine.anatomical_structure ,Intercellular Junctions ,biology.protein ,Intracellular - Abstract
As previously described, a cell surface-associated adhesive factor (AF) was separated from differentiated rat ascites hepatoma AH136B cells (forming cell islands in vivo) and highly purified by chromatography. AF induces not only aggregation of dissociated AH136B cells or undifferentiated rat ascites hepatoma AH109A cells (present as free cells in vivo), but also adhesiveness characterized by the development of junctional complexes. The localization of AF on the surfaces of AH136B cell islands was investigated using anti-AF IgG (Fab fragment) coupled to peroxidase. AF was detected in the contact region of the lateral surfaces of the AH136B cells and in the intercellular spaces. In contacted free cell surfaces of AH136B cells. Fluorescence studies revealed that biotin-labeled AF did not bind to the apical surface of AH136B cell islands. These results indicate a distinct difference between apical and lateral surfaces of AH136B cells; neither AF nor binding site for AF were localized on the apical surface of AH136B cells, whereas both were localized on the lateral surface. On the other hand, AH136B cells detached from the cell islands, or during the process of partial dissociation from them, showed the loss of the AF localization and binding site of AF on the surfaces. The results suggest that AH136B cell surfaces may be polarized in terms of the AF localization, and this polarization may be lost after cell dissociation.
- Published
- 1985
12. The Genetic Architecture of Depression in Individuals of East Asian Ancestry
- Author
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Giannakopoulou, Olga, Lin, Kuang, Meng, Xiangrui, Su, Mei-Hsin, Kuo, Po-Hsiu, Peterson, Roseann E., Awasthi, Swapnil, Moscati, Arden, Coleman, Jonathan R. I., Bass, Nick, Millwood, Iona Y., Chen, Yiping, Chen, Zhengming, Chen, Hsi-Chung, Lu, Mong-Liang, Huang, Ming-Chyi, Chen, Chun-Hsin, Stahl, Eli A., Loos, Ruth J. F., Mullins, Niamh, Ursano, Robert J., Kessler, Ronald C., Stein, Murray B., Sen, Srijan, Scott, Laura J., Burmeister, Margit, Fang, Yu, Tyrrell, Jess, Jiang, Yunxuan, Tian, Chao, McIntosh, Andrew M., Ripke, Stephan, Dunn, Erin C., Kendler, Kenneth S., Walters, Robin G., Lewis, Cathryn M., Kuchenbaecker, Karoline, Wray, Naomi R., Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F. M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Colodro-Conde, Lucía, Coon, Hilary, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Eley, Thalia C., Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K., Foo, Jerome C., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Howard, David M., Hougaard, David M., Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A., Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., Luykx, Jurjen J., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O'Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C. B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thompson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, EJC, DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela AF, Magnusson, Patrik K., Martin, Nicholas G., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O'Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda WJH, Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Agee, Michelle, Aslibekyan, Stella, Auton, Adam, Babalola, Elizabeth, Bell, Robert K., Bielenberg, Jessica, Bryc, Katarzyna, Bullis, Emily, Cameron, Briana, Coker, Daniella, Cuellar Partida, Gabriel, Dhamija, Devika, Das, Sayantan, Elson, Sarah L., Filshtein, Teresa, Fletez-Brant, Kipper, Fontanillas, Pierre, Freyman, Will, Gandhi, Pooja M., Heilbron, Karl, Hicks, Barry, Hinds, David A., Huber, Karen E., Jewett, Ethan M., Kleinman, Aaron, Kukar, Katelyn, Lane, Vanessa, Lin, Keng-Han, Lowe, Maya, Luff, Marie K., McCreight, Jennifer C., McIntyre, Matthew H., McManus, Kimberly F., Micheletti, Steven J., Moreno, Meghan E., Mountain, Joanna L., Mozaffari, Sahar V., Nandakumar, Priyanka, Noblin, Elizabeth S., O'Connell, Jared, Petrakovitz, Aaron A., Poznik, G. David, Schumacher, Morgan, Shastri, Anjali J., Shelton, Janie F., Shi, Jingchunzi, Shringarpure, Suyash, Tran, Vinh, Tung, Joyce Y., Wang, Xin, Wang, Wei, Weldon, Catherine H., Wilton, Peter, Avery, Daniel, Bennett, Derrick, Bian, Zheng, Boxall, Ruth, Bragg, Fiona, Chan, Ka Hung, Chang, Liang, Chang, Yumei, Chen, Biyun, Chen, Jinyan, Chen, Junshi, Chen, Naying, Chen, Ningyu, Chen, Xiaofang, Cheng, Liang, Clarke, Johnathan, Clarke, Robert, Collins, Rory, Dong, Caixia, Du, Huaidong, Du, Ranran, Fairhurst-Hunter, Zammy, Fan, Lei, Feng, Shixian, Fu, Zhongxi, Gan, Wei, Gao, Ruqin, Gao, Yulian, Ge, Pengfei, Gilbert, Simon, Gong, Weiwei, Gu, Qijun, Guo, Yu, Guo, Zhendong, Guo, Ziyan, Hacker, Alex, Han, Xiao, Hariri, Parisa, He, Pan, He, Tianyou, Hill, Mike, Holmes, Michael, Hou, Can, Hou, Wei, Hu, Chen, Hu, Ruying, Hu, Ximin, Hu, Yihe, Hua, Hua, Hua, Yujie, Huang, Yuelong, Im, Pek Kei, Iona, Andri, Jiang, Qilian, Jin, Jianrong, Kakkoura, Maria, Kang, Quan, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Lan, Jian, Lancaster, Garry, Li, Feifei, Li, Huimei, Li, Jianguo, Li, Liming, Li, Mingqiang, LI, Shanpeng, Li, Yanjie, Li, Yilei, Li, Zhongxiao, Lingli, Lingli, Liu, Chao, Liu, Depei, Liu, Duo, Liu, Fang, Liu, Huilin, Liu, Jiaqiu, Liu, Jingchao, Liu, Yongmei, Liu, Yun, Long, Huajun, Lu, Yan, Luo, Guojin, Lv, Jun, Lv, Silu, Ma, Liangcai, Mao, Enke, McDonnell, John, Meng, Fanwen, Meng, Jinhuai, Millwood, Iona, Nie, Qunhua, Ning, Feng, Pan, Dongxia, Pan, Rong, Pang, Zengchang, Pei, Pei, Peto, Richard, Pozarickij, Alfred, Qian, Yijian, Qin, Yulu, Qu, Chan, Ren, Xiaolan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Su, Jian, Sun, Huarong, Sun, Qiang, Sun, Xiaohui, Tang, Aiyu, Tang, Zhenzhu, Tao, Ran, Tian, Xiaocao, Turnbull, Iain, Walters, Robin, Wan, Meng, Wang, Chunmei, Wang, Chen, Wang, Hao, Wang, Junzheng, Wang, Lin, Wang, Ping, Wang, Tao, Wang, Shaojie, Wang, Sisi, Wang, Xiaohuan, Wei, Liuping, Weng, Min, Wright, Neil, Wu, Ming, Wu, Xianping, Wu, Shukuan, Xie, Kaixu, Xu, Qiaohua, Xu, Qinai, Xu, Xin, Yan, Shichun, Yang, Ling, Yang, Xiaoming, Yang, Jie, Yao, Pang, Yin, Li, Yu, Bo, Yu, Canqing, Yu, Min, Zhai, Yaoming, Zhang, Hao, Zhang, Hui, Zhang, Jun, Zhang, Libo, Zhang, Ningmei, Zhang, Xi, Zhang, Xiaoyi, Zhang, Xukui, Zhong, Xunfu, Zhou, Ding Zhang, Zhou, Gang, Zhou, Jinyi, Zhou, Liyuan, Zhou, Weiwei, Zhou, Xue, Zhou, Yonglin, and Zou, Mingyuan
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